International Journal of Fuzzy Logic and Intelligent Systems

  • 제9권4호
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  • Pages.294-300
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  • 2009
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Implementation of an Adaptive Robust Neural Network Based Motion Controller for Position Tracking of AC Servo Drives

  • Kim, Won-Ho (Department of Mechatronics Engineering, Dong-Eui University)
  • 투고 : 2009.11.04
  • 심사 : 2009.11.30
  • 발행 : 2009.12.25
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초록

The neural network with radial basis function is introduced for position tracking control of AC servo drive with the existence of system uncertainties. An adaptive robust term is applied to overcome the external disturbances. The proposed controller is implemented on a high performance digital signal processing DSP TMS320C6713-300. The stability and the convergence of the system are proved by Lyapunov theory. The validity and robustness of the controller are verified through simulation and experimental results

키워드

참고문헌

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피인용 문헌

  1. Implementation of Fuzzy Self-Tuning PID and Feed-Forward Design for High-Performance Motion Control System vol.14, pp.2, 2014, https://doi.org/10.5391/IJFIS.2014.14.2.136